Case Study 01

Case Study 01

Case Studies
  • Gizem Özbek
  • August 12th 2021


Increase your diagnostic yield using NGS Cloud

The artificial intelligence-supported genetic data analysis platform NGS Cloud reached the diagnosis within minutes.

The diagnostic yield of whole-exome sequencing (WES) tests remains 25-40%, although there is a vast improvement in the last decade (1). Moreover, it takes 6 to 8 years for rare diseases to get an accurate diagnosis (2).  

We are living in an era where almost every day, clinical scientists establish a new gene-phenotype relation. It is crucial to keep all the utilised tools up-to-date, incorporating the latest and current literature knowledge and perform periodic reanalysis to increase the diagnostic yield of genetic data analyses (3).

The Presentation:

WES was performed for a 13-year-old male with speech and motor delay, intellectual disability, ataxia, chorea, increased tonus, seizures, small head circumference, strabismus, excessive salivation, and sleep disorder. He had been waiting for a diagnosis for nine years. Karyotyping, fragile-X test, aCGH analysis (2011), whole-exome sequencing (2017) and follow-up segregation analyses (2018), including reanalysis of WES data (2018), had been performed.

The Methods and the Findings:

The family uploaded the VCF file to the platform using PECULIAR (PairEnd Client UpLoad & Integrated Analysis Raw data). The clinical findings were entered as HPO (Human Phenotype Ontology) Terms (4). The HOPE (Harmonization of Ontologies by PairEnd)  prioritised the variants strongly associated with the given phenotype. In the last step, a heterozygous variant [c.1018_1019delinsTT p. (Gln340Leu)] was detected in POU3F3 within minutes by the automatic analysis algorithm, GENIUS (GENe Interactions Under Scope) (Figure 1) (5).

Figure 1. The card view of the POU3F3 variant

The following familial segregation analyses confirmed that the variant is de novo. We added the PS2 criterion in addition to the automatically calculated PM1 and PM2 criteria and reclassified it as <<Likely Pathogenic (LP)>> according to ACMG/AMP criteria (6).

The Result:

Nowadays, most cases (60-75%) remain unresolved after the first genetic analysis, and they can be diagnosed with a reanalysis (7). To overcome this challenge, we have built the modern data infrastructure of NGS Cloud that integrates advanced and up-to-date bioinformatics pipelines, automatic update of new publications, variants and other data points regarding gene-phenotype relationships with literature mining. Thus, it decreases the analysis time from hours to minutes, reducing manual data processing and, most importantly, more accurate clinical interpretation.


1.   Trujillano D et al (2017) Eur J Hum Genet. 2017;25(2):176‐182. doi:10.1038/ejhg.2016.146

2. (Last Access Date: 24.05.2021)

3.  Frésard, L et al (2018) Cold Spring Harb Mol Case Stud., 4(6), a003392.

4.  Köhler S et al (2019) Nucleic Acids Res. 2019;47(D1):D1018‐D1027. doi:10.1093/nar/gky1105

5. Torun, D., Arslan, M., & Yüksel, Z. (2021). Coexistence of severe developmental delay, epilepsy, and hemangioma in Snijders Blok-Fisher syndrome suggests the presence of a POU3F3-related SNIBFIS endophenotype: A case report. American journal of medical genetics. Part A, 185(5), 1554–1560.

6. Richards S, Aziz N, Bale S, et al. Standards and guidelines for interpreting sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405‐424. doi:10.1038/gim.2015.30

a.  PM1: Located in a mutational hot spot and/or critical and well-established functional domain (e.g., the active site of an enzyme) without benign variation.

b.  PM2: Absent from controls (or at extremely low frequency if recessive) in Exome Sequencing Project, 1000 Genomes Project, or Exome Aggregation Consortium.

c.  PS2: De novo (both maternity and paternity confirmed) in a patient with the disease and no family history.

7.  Baker SW et al (2019) J Mol Diagn. 2019;21(1):38‐48. doi:10.1016/j.jmoldx.2018.07.008

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Gizem Özbek August 12th 2021
Gizem Özbek August 12th 2021